The article describes an algorithm that uses fractal and chaos theory to analyze nonlinear time series data. The algorithm calculates correlation dimension and Kolmogorov entropy using Visual Basic programming language. The researchers applied this algorithm to annual average runoff data from the Yellow River and found it to be effective in analyzing complex systems quickly and accurately.